The dataset contains 21 full-HD videos, each around 1 hr long, captured at six different locations. Vehicles in the videos (20 865 instances in total) are annotated with the precise speed measurements from optical gates using LiDAR and verified with several reference GPS tracks. The dataset is available for download and it contains the videos and metadata (calibration, lengths of features in image, annotations, and so on) for future comparison and evaluation.
11 PAPERS • 1 BENCHMARK
The dataset has been generated using Town 1 and Town 2 of CARLA Simulator. The dataset consists of 50 camera configurations with each town having 25 configurations. The parameters modified for generating the configurations include f ov, x, y, z, pitch, yaw, and roll. Here, f ov is the field of view, (x, y, z) is the translation while (pitch, yaw, and roll) is the rotation between the cameras. The total number of image pairs is 1,23,017, out of which 58,596 belong to Town 1 while 64,421 belong to Town 2, the difference in the number of images is due to the length of the tracks.
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Description OV dataset is the camera calibration dataset. There are 16 lenses ranging from 90° to 180° FOV:
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